IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i1p98-d474852.html
   My bibliography  Save this article

A Random Walk Model for Spatial Galaxy Distribution

Author

Listed:
  • Vladimir V. Uchaikin

    (Department of Theoretical Physics, Ulyanovsk State University, 432700 Ulyanovsk, Russia)

  • Vladimir A. Litvinov

    (Department of Informatics and Special Technique, Barnaul Law Institute of the Ministry of Internal Affairs of Russia, 656099 Barnaul, Russia)

  • Elena V. Kozhemyakina

    (Department of Theoretical Physics, Ulyanovsk State University, 432700 Ulyanovsk, Russia)

  • Ilya I. Kozhemyakin

    (Department of Theoretical Physics, Ulyanovsk State University, 432700 Ulyanovsk, Russia)

Abstract

A new statistical model of spatial distribution of observed galaxies is described. Statistical correlations are involved by means of Markov chain ensembles, whose parameters are extracted from the observable power spectrum by adopting of the Uchaikin–Zolotarev ansatz. Markov chain trajectories with the Lévy–Feldheim distributed step lengths form the set of nodes imitating the positions of galaxy. The model plausibly reproduces the two-point correlation functions, cell-count data and some other important properties. It can effectively be used in the post-processing of astronomical data for cosmological studies.

Suggested Citation

  • Vladimir V. Uchaikin & Vladimir A. Litvinov & Elena V. Kozhemyakina & Ilya I. Kozhemyakin, 2021. "A Random Walk Model for Spatial Galaxy Distribution," Mathematics, MDPI, vol. 9(1), pages 1-17, January.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:1:p:98-:d:474852
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/1/98/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/1/98/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:1:p:98-:d:474852. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.